Rapid innovation in ChIP-seq peak-calling algorithms is outdistancing benchmarking efforts
Published 2010 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Rapid innovation in ChIP-seq peak-calling algorithms is outdistancing benchmarking efforts
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume 12, Issue 6, Pages 626-633
Publisher
Oxford University Press (OUP)
Online
2010-11-09
DOI
10.1093/bib/bbq068
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Introduction into the analysis of high-throughput-sequencing based epigenome data
- (2010) M. Huss BRIEFINGS IN BIOINFORMATICS
- De novo motif identification improves the accuracy of predicting transcription factor binding sites in ChIP-Seq data analysis
- (2010) Valentina Boeva et al. NUCLEIC ACIDS RESEARCH
- Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges
- (2010) Robert J. Prill et al. PLoS One
- MER41 Repeat Sequences Contain Inducible STAT1 Binding Sites
- (2010) Christoph D. Schmid et al. PLoS One
- Evaluation of Algorithm Performance in ChIP-Seq Peak Detection
- (2010) Elizabeth G. Wilbanks et al. PLoS One
- BayesPeak: Bayesian analysis of ChIP-seq data
- (2009) Christiana Spyrou et al. BMC BIOINFORMATICS
- A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments
- (2009) Teemu D Laajala et al. BMC GENOMICS
- Bioinformatics approaches for genomics and post genomics applications of next-generation sequencing
- (2009) D. S. Horner et al. BRIEFINGS IN BIOINFORMATICS
- ChIP-seq accurately predicts tissue-specific activity of enhancers
- (2009) Axel Visel et al. NATURE
- PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
- (2009) Joel Rozowsky et al. NATURE BIOTECHNOLOGY
- Computation for ChIP-seq and RNA-seq studies
- (2009) Shirley Pepke et al. NATURE METHODS
- ChIP–seq: advantages and challenges of a maturing technology
- (2009) Peter J. Park NATURE REVIEWS GENETICS
- Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data
- (2009) Kimberly R. Blahnik et al. NUCLEIC ACIDS RESEARCH
- JASPAR 2010: the greatly expanded open-access database of transcription factor binding profiles
- (2009) Elodie Portales-Casamar et al. NUCLEIC ACIDS RESEARCH
- Inherent Signals in Sequencing-Based Chromatin-ImmunoPrecipitation Control Libraries
- (2009) Vinsensius B. Vega et al. PLoS One
- Diversity and Complexity in DNA Recognition by Transcription Factors
- (2009) G. Badis et al. SCIENCE
- A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data
- (2009) Desmond S Lun et al. GENOME BIOLOGY
- GeneTrack--a genomic data processing and visualization framework
- (2008) I. Albert et al. BIOINFORMATICS
- FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology
- (2008) A. P. Fejes et al. BIOINFORMATICS
- Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
- (2008) David A Nix et al. BMC BIOINFORMATICS
- Systematic evaluation of variability in ChIP-chip experiments using predefined DNA targets
- (2008) D. S. Johnson et al. GENOME RESEARCH
- Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data
- (2008) Anton Valouev et al. NATURE METHODS
- Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data
- (2008) R. Jothi et al. NUCLEIC ACIDS RESEARCH
- Model-based Analysis of ChIP-Seq (MACS)
- (2008) Yong Zhang et al. GENOME BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started